\subsection{Introduction}

\entry {Bryan's suggestion:}
make sure your story can be even more convincing
than one that adopts this structure: 

(1) first paragraph of introduction talks about the \textbf{general
motivation} of the problem that you're trying to solve. Highlight the
\textbf{importance of solving such a problem} by, for example, relating
it to many potential real-world/practical applications (give
references).

(2) second paragraph: highlight the \textbf{key non-trivial
problems/issues} that arise with solving such a problem and \textbf{why
they are important to be addressed}. These should be the ones that
you'll be addressing in the paper.
(a) Issues is not the problem but the difficulty to solve the problem
(e.g. localization is a problem but not an issue).
(b) The issues should be the ones you can addressed well.

(3) second or third paragraph: how did existing related work fail in
handling the issues raised above? this can be easily achieved by
\textbf{grouping these related work into classes} and describing the
\textbf{strengths and weaknesses of each class} of approaches with
respect to the issues. 

(4) fourth paragraph: tell the reader that your work or algorithm
\textbf{"cleverly" tackles the above-mentioned issues} by ... While
doing so, you can highlight \textbf{why your work is different from that
  of the related work}: for example, you do this differently so as to
  resolve the issue, which the related work can't.

(5) fourth or fifth paragraph: \textbf {list explicitly the specific
  contributions} of your work in point form. Provide details but don't
  tell the full story or you'll end up with nothing to write for your
  conclusion. Don't waste space by repeating or summarizing what you've
  said earlier in the introduction section. Embed the contribution into
  the organization of the paper. (A reviewer rushing deadline sometimes
      expects to find the most important to read) \ownby {Arik}

\entry Explain the problem in simple words with proper flow.
\ownby prabhu
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\entry Don't explain about the sections in a separate paragraph.
\ownby prabhu
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\entry When you explain your problem in introduction or abstract, always describe about your experimental results concisely.
\ownby prabhu
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\entry List out specific contributions using bulleting and explain clearly on  each contributions in the introduction section.
\ownby prabhu
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\entry If the contributions is on scalability, explain clearly on what measure the algorithm scales well. For example, in camera - target problem, explain like the algorithm scales well on number of targets or sections.	
\ownby prabhu
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\subsection{Related Works}
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\entry Identify some common properties of the related works\
\ownby prabhu
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\entry Use a table to compare the properties of each work with your proposed work.
\ownby prabhu
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\entry Don't explain each of the related works in detail and compare their work with the proposed work. 
\ownby prabhu
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\entry In {\em related work} section, explain the table instead of discussing each works individually.	
\ownby prabhu
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\entry Explain how you classify the related works using the properties that you have identified. 
\ownby prabhu
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\subsection{Methods}
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\entry Do not throw out too many theorems in methods part. State the most important ones. \\
Usually, the number of theorems in one paper is around two or three. \\
If the theorem you show doesn't really contribute to your methods, use {\tt lemma} instead of {\tt theorem}.
\ownby arik, nuo
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\entry When you find that it will take a lot of sentences to explain your methods, try some graphs to illustrate.
\ownby nuo
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\subsection{Experiment and Result}
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\entry While discussing experimental results, don't just show your final conclusion which may not be trivial to the readers. It is best to show your observations and explain what they imply.
\ownby nghiaht
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\entry It is necessary to tell the readers, rather than make them crack their brain to figure it out, what is the limitation of your work (under which conditions it works well / bad). Explain it clearly and concisely.
\ownby nghiaht
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\entry While describing experimental results, make sure your sentences are well-connected and coherent. Otherwise, the readers may get confused.
\ownby nghiaht
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\entry Always when you compare any two algorithms or techniques, use some performance metric or time complexity.
\doit The POMDP planning algorithm has complexity of {\tt O(|T||C|*K)}.
\donot The POMDP planning algorithm take very long time to run.\newline
You can use this item when you prepare your presentations.
\ownby prabhu
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\entry If there are many results, then readers may not know which one is more important and feel bored to look at them. So prioritize the results.
\ownby prabhu
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\entry Abbrevation: If there are 4 words then abbrevate with 4 letters.\newline
Eg: greedy maximal entropy sampling (GMES) or (GME and underline the
letter that you are italics)
\ownby prabhu
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\entry Explain the performance metric(s) in the experimental section.\newline
Explain briefly and intuitively the meaning of each metrics. If there are several metrics, you need to explain clearly the reason to each of them. In addition, if possible, show the readers how are these metrics related.
\ownby prabhu, nuo
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\entry Explain clearly how your algorithms performs differently from
other work; explain the theoretical conditions that your algorithm
performs good; write a conclusion about the comparison with previous
works. Also say some limitations that your work cannot perform well in
certain conditions. Also you can say how to reduce the impact of
limitations. Eg: increase the number of robots/cameras.
Explain the environmental conditions that your work performs well.
\ownby prabhu
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\entry When you write observations from the graph/table, explain
briefly about each observations before you write the final conclusion.\newline
Generally, you should write down the explicit results first, then analyze them.
\ownby prabhu
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\entry When comparing different algorithms or approaches, show some trade-offs in terms of time
and computation cost.
\ownby prabhu
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\subsection{Conclusion}
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\entry The conclusion is essentially a summary of your contributions. However, it should not be written by just rephrasing the abstract and introduction. It should include interesting findings (in the experiment section) which are probably not mentioned in the abstract and introduction.
\ownby nghiaht
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\entry You should say that you have found something interesting which
you have not mentioned in previous sections. So keep some suspense in
the paper to reveal out in the conclusion.
\ownby prabhu
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